Gangwei Jiang

According to our database, Gangwei Jiang authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding and Patching Compositional Reasoning in LLMs.

Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei

CoRR, 2024

2023

On the Opportunities of Green Computing: A Survey.

You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng

CoRR, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt.

Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian, Ying Wei

CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou

CoRR, 2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.

Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen

CoRR, 2023

Continual Learning in Predictive Autoscaling.

Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou

CoRR, 2023

Prompt-augmented Temporal Point Process for Streaming Event Sequence.

Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.

Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Deep Task-specific Bottom Representation Network for Multi-Task Recommendation.

Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Continual Learning in Predictive Autoscaling.

Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Self-Supervised Text Erasing with Controllable Image Synthesis.

Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei, Defu Lian

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Automated Creative Optimization for E-Commerce Advertising.

Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng

Proceedings of the WWW '21: The Web Conference 2021, 2021

xLightFM: Extremely Memory-Efficient Factorization Machine.

Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure.

Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021